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008 130819t2012 my a f m 000 0 eng d
020 _aTHE0006761(Local)
039 9 _a201905290921
_bamirul
_y201308190912
_zFida
040 _aUMP
090 _aTK2785 .S93 2012 rs Bc.
100 0 _aNurul Syamila Mohd Rosli
245 1 0 _aStator resistance estimation of induction motor using genetic algorithm /
_cNurul Syamila Mohd Rosli
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axiii, 44 p. :
_bill. (some col.) ;
_c30 cm. + 1 CD-ROM
502 _aProject paper (Bachelor of Electrical Engineering (Power Systems) -- Universiti Malaysia Pahang - 2012
504 _aBibliography : p. 39-40
520 3 _aNowadays, induction motors are mainly used in all industrial especially in plant industrial. In general, this motor is widely used because it is cheaper, easy to maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor. But, the stator resistance changes continuously with the temperature of the machine. The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases. In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. This project is about to design genetic algorithm estimator using MATLAB software, and builds an actual induction motor using Newcastle University Drives Simulation Library. Finally these parts of Simulink diagram will be combined to estimate the variation of stator resistance.
650 0 _aElectric motors, Induction
999 _aVIRTUA40
_c4127
_d4133
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992